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DBMS > Amazon Aurora vs. Amazon CloudSearch vs. Datomic vs. HarperDB vs. Realm

System Properties Comparison Amazon Aurora vs. Amazon CloudSearch vs. Datomic vs. HarperDB vs. Realm

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonDatomic  Xexclude from comparisonHarperDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA hosted search engine service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSSearch engineRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score7.41
Rank#52  Overall
#8  Document stores
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­cloudsearchwww.datomic.comwww.harperdb.iorealm.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­cloudsearchdocs.datomic.comdocs.harperdb.io/­docsrealm.io/­docs
DeveloperAmazonAmazonCognitectHarperDBRealm, acquired by MongoDB in May 2019
Initial release20152012201220172014
Current release1.0.7075, December 20233.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freecommercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureNode.js
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyesyes infoJSON data typesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonono
Secondary indexesyesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLyesnonoSQL-like data manipulation statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesnoyes infoTransaction FunctionsCustom Functions infosince release 3.1no inforuns within the applications so server-side scripts are unnecessary
TriggersyesnoBy using transaction functionsnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infoautomatic partitioning across Amazon Search Instance as requirednone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSnone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesnoAccess rights for users and rolesyes

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More resources
Amazon AuroraAmazon CloudSearchDatomicHarperDBRealm
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